Decision Tree– and Random Forest–Based Novel Unsteady Aerodynamics Modeling Using Flight Data
Author:
Affiliation:
1. Indian Institute of Technology of Kanpur, Kanpur 208 016, Uttar Pradesh, India
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.C035034
Reference34 articles.
1. Flight Vehicle System Identification
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3. Data Analysis
4. FischenbergD. “Identification of an Unsteady Aerodynamics Stall Model from Flight Test Data,” RTO MP-11, DLR-Germany, Paper No. 17, 1999.
5. Maximum Likelihood Identification of Aircraft Stability and Control Derivatives
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